Economist, sports enthusiast, and always reforming. Consumer not producer of tweets. Here for the causal inference. Retweets so I can find things again.
Fort Collins, CO
Joined October 2012
- Tweets255
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Tim Komarek retweeted
Spatial errors are a potential problem in applied economics. If u use cross-sectional data, but neighboring observations are really similar, you overstate the confidence you can have in your results. The problem is not new. Recently, some new methods have allowed us to tackle
Tim Komarek retweeted
Here are the first five sets of slides:
01 Introduction: psantanna.com/DiD/01_Introdu…
02 Classical 2x2 setup: psantanna.com/DiD/02_two_by_…
03 Clustering issues: psantanna.com/DiD/03_Cluster…
04 Functional form: psantanna.com/DiD/04_Functio…
05 Covariates: psantanna.com/DiD/05_Covaria…
I am thinking of making my DiD materials that I used for teaching in the last 5 years available.
I am hoping these would find begineers in need of a step-by-step opinionated walkthrough of several developments
Let’s see if I find the energy to do this!
#EconTwitter #CausalTwitter
Tim Komarek retweeted
Need an 📢alternative to Rosen-Roback 📢that accounts for trade (tradable goods & local services) & mobility (local ties &idiosyncratic tastes) frictions? Our new paper & quality-of-life solver for MATLAB/Stata/R/Python, plus a😎HTML-tool available at qol.ahlfeldt.com
Tim Komarek retweeted
Earlier today, I posted an interactive map of work-from-home patterns based on the latest Census data from 2023.
Explore it here: walker-data.com/map-challeng…
Let's take a closer look at some of the trends:
Tim Komarek retweeted
Yesterday I attended the session "Publishing in #Economics" at the #NEUDC2024 with @MelissaLDell (JPE) @afosterri (JDE) @SuriTavneet (REStat) and Laura Schechter (JEBO) and I think everyone should benefit from the amazing insights and advice we received, here is my summary! 1/n
Publishing in Economics.
#NEUDC session on Publishing in Economics, moderated by Maddie McKelway & @debi_mohapatra. @MelissaLDell , @afoster, @LauraASchechter, & @SuriTavneet provided insightful and honest advice to researchers on how to navigate the complex world of publishing
Tim Komarek retweeted
Comparing spatial patterns blog post 3:
↔️ continuous raster data for arbitrary regions using #rstats↔️
Read it at buff.ly/48nkkU0.
#spatialpatterns #gischat #geospatial
ALT A screen shot from the blog post
ALT A screen shot from the blog post
ALT A screen shot from the blog post
Tim Komarek retweeted
Here’s my article on integrating #Git with #Overleaf, specifically for economists. It’s beginner-friendly and assumes very little knowledge of Git or the command line. Feedback is welcome! medium.com/@arieda.muco/git-…
Econs using Overleaf: If you learn few basic Git commands you won’t need to manually upload figures &tables every time there are updates. Git can sync everything automatically. Use git push to update Overleaf & track changes with a commit message. #EconResearch #Overleaf #git
Tim Komarek retweeted
🚨Public good alert! 🚨#EconTwitter The public-use NUMIDENT is now available for download with nearly 50 million death records and 25 million claims records (1936-2007)!
Link: doi.org/10.3886/E207202V1
🧵1/N
Tim Komarek retweeted
Looking for some light beach reading? Check out new version of our book "Credible Answers to Hard Questions: Differences-in-Differences for Natural Experiments"! papers.ssrn.com/sol3/papers.…
With companion videos from my course at World Bank: youtube.com/playlist?list=PL…
And dofiles...
Tim Komarek retweeted
Please find below the links to the DECRG difference-in-difference course held on June 7, 10, and 11:
Playlist: youtube.com/playlist?list=PL…
Introduction: youtube.com/watch?v=BM7QNx54…
Day 1: youtube.com/watch?v=PWxjqK7X…
Day 2: youtube.com/watch?v=FjD2qCkm…
It was a pleasure organizing and attending this course. The recorded videos will be available after the course and we will make sure to share them. Thank you @CdeChaisemartin !
Tim Komarek retweeted
To all DIDstas: is your Y measured less frequently than your D? E.g. you look at US election outcomes, measured every 4 years, but treatment measured every year? Check out great vignette @diegociccia1 has prepared on how to use did_multiplegt_dyn then: github.com/chaisemartinPacka…
Tim Komarek retweeted
Geographically weighted regression (GWR) is a method to assess spatial non-stationarity, where relationships b/w an outcome and predictors in a model vary from place to place.
I discuss GWR and its limitations in Ch8 of my book Analyzing US Census Data: walker-data.com/census-r/mod…
Tim Komarek retweeted
Need all 85,194 @uscensusbureau Census tract or 242,298 Census block group boundaries for your project with minimal fuss?
Get each in a single line of #rstats or #Python code from the newly-released 2023 Cartographic Boundary shapefiles using the {tigris} or {pygris} packages!
tigris (R): github.com/walkerke/tigris
pygris (Python): walker-data.com/pygris
Tim Komarek retweeted
A couple thoughts tangentially related to the EJ/JPopEcon replication discussion, both on how I learned to minimize mistakes and be a more careful reader of reduced form work. Maybe useful for early career people.
Tim Komarek retweeted
In this #toolkit, you can control worker heterogeneity and observe how the mighty @ReddingEcon-@HansbergRossi QSM collapses to #RosenRoback in the limit (gamma=infty). Javascript: sites.google.com/view/ahlfel… Stata ADO produces 4-quadrant GE graphs. Full docu: github.com/Ahlfeldt/ABRS-too…
ALT This toolkit allows for counterfactual evaluations of the effect of changes in labour productivity, quality of life, or housing productivity on employment, wage, and housing rent in a spatial general equilibrium framework with heterogeneous worker preferences. We use a toy version of the Quantitative Spatial Model in Ahlfeldt, Bald, Roth, Seidel (WIP). To establish the general equilibrium, the model clears the labour, housing, and goods market. All programs have been written using Stata 18. However, the code should also run on earlier versions. Programs do not use user-written ado files. To install the Stata ADO type 'ssc install ABRS'
Tim Komarek retweeted
fwiw there's an MIT course for CS students that covers make & GIT and *that* is called "the missing semester" 🤦♂️
missing.csail.mit.edu